Aviation research, sourced & cited.

Distributed measurement system based on CAN data bus

Purpose This paper aims to describe the idea behind and design of a miniaturized distributed measurement system based on a controller area network (CAN) data bus.

Monitoring Pilot's Cognitive Fatigue with Engagement Features in Simulated and Actual Flight Conditions Using an Hybrid fNIRS-EEG Passive BCI

There is growing interest for implementing tools to monitor cognitive performance in naturalistic environments. Recent technological progress has allowed the development of new generations of brain imaging systems such a…

Aircraft Mass Estimation using Quick Access Recorder Data

Aircraft mass is the most important parameter airliners use to determine how much cargo and fuel they should take for the flight to maximize their profit while keep the total weight under the safety limit.

A Data-Driven Fuel Consumption Estimation Model for Airspace Redesign Analysis

A novel data-driven model for fast assessment of terminal airspace redesigns regarding system-level fuel burn is proposed in this paper.

Development of Possible Go-Around Criteria for Transport Aircraft

This paper adds data to help with the development of possible go-around criteria for transport category aircraft. Presently, airline procedures state that pilots make a go-around decision using multiple criteria at 1000 …

Insights for Critical Alarm-Based Warning Systems from a Risk Analysis of Commercial Aviation Passenger Screening

The Transportation Security Administration (TSA) recently commissioned a risk analysis of the passenger threat vector in which an adversary gains access through the screening checkpoint.

Effectiveness of working memory training among children with dyscalculia: evidence for transfer effects on mathematical achievement—a pilot study

The results show that both WM and mathematical performances improved significantly after intervention, indicating a strong relationship between these two constructs.

Efficient clear air turbulence avoidance algorithms using IoT for commercial aviation

With the growth of commercial aviation over the last few decades there have been many applications designed to improve the efficiency of flight operations as well as safety and security.

Decision Making in Complex Environments

Bayesian probability theory, signal detection theory, and operational decision theory are combined to understand how one can operate effectively in complex environments, which requires uncommon skill sets for performance…

Anomaly detection of aircraft engine in FDR (flight data recorder) data

This paper deals with detection of anomalous behaviour of aircraft engines in FDR (flight data recorder) data to improve airline maintenance operations.

FDM Machine Learning: An investigation into the utility of neural networks as a predictive analytic tool for go around decision making

The purpose of this research is to investigate the utility of neural networks in modeling decisions using historic aircraft flight data and low error rates with testing data indicate the success of the network in predict…

Time Series Analysis Methods and Applications for Flight Data

This chapter defines what is a flight data recorder (FDR) and provides its history by outlining the different types of FDR from pioneering type to the most recent one.

Analysis of Flight Data Using Clustering Techniques for Detecting Abnormal Operations

The new method, enabled by data from the flight data recorder, applies clustering techniques to detect abnormal flights of unique data patterns and can support domain experts in detecting anomalies and associated risks f…

Developing General Training Effectiveness Scale for the Malaysian Workplace Learning

Information on evaluating training effectiveness via a general instrument is limited despite its obvious need in human resource development (HRD) especially in the Malaysian context.

Examination of excessive fuel consumption for transport jet aircraft based on fuzzy-logic models of flight data

The fuzzy-logic modeling (FLM) technique will be employed to establish the reference lift-to-drag (L/D) model and flight data will be used to enhance fuel efficiency for commercial transports to reduce fuel consumption.

An analysis of flight Quick Access Recorder (QAR) data and its applications in preventing landing incidents

A long landing is one type of flight incident that will multiply the risk of a runway excursion. It occurs frequently but receives little attention in research due to difficulty in obtaining the real flight data.

Copulas applied to Flight Data Analysis

An advanced statistical method of data analysis is described in order to be able to quantify which factors influence incidents to which extent and to calculate the incident probability.

The Effectiveness of Airline Pilot Training for Abnormal Events

Objective: To evaluate the effectiveness of airline pilot training for abnormal in-flight events. Background: Numerous accident reports describe situations in which pilots responded to abnormal events in ways that were d…

Affective decision making under uncertainty during a plausible aviation task: An fMRI study

The authors' neuroimaging results reveal a shift from cold to hot decision making in response to high uncertainty when participants were exposed to the financial incentive, and a disruptive effect of biased financial inc…

Anomaly detection in onboard-recorded flight data using cluster analysis

A method has been developed to support Flight Operations Quality Assurance (FOQA) by identifying anomalous flights based on onboard-recorded flight data using cluster analysis techniques.

Configurable flight data analysis for trends and statistics analysis of avionics systems - An embedded perspective of an efficient flight data analysis

The methodology of data processing for various fleet of aircrafts with controlled parameter limits and conditions with logical envelops bounded by derived mathematical approaches for the trends and statistics of various …

Flight data recorder: monitoring persistent-state interactions to improve systems management

The Flight Data Recorder (FDR) is presented, that enables always-on tracing, storage and analysis of persistent state interactions and uses a domain-specific log format, tailored to observed file system workloads and com…

Flight Data Recorder: Always-on Tracing and Scalable Analysis of Persistent State Interactions to Improve Systems and Security Management

The Flight Data Recorder is presented, it is shown that a single centralized collection machine can potentially scale to collecting and analyzing the complete records of persistent state interactions from 4000+ machines,…

A "flight data recorder" for enabling full-system multiprocessor deterministic replay